Data analysis for hot film-anemometry in turbulent bubbly flow

S. Luther, J.M. Rensen, Th.H. van den Berg, D. Lohse

Research output: Contribution to journalArticleAcademicpeer-review

16 Citations (Scopus)
1 Downloads (Pure)


We report on a new method for the analysis of hot-film anemometry in turbulent bubbly flows based on stochastic pattern recognition summarizing our results of [J.M. Rensen, S. Luther, J. de Vries, D. Lohse, Hot-film anemometry in bubbly flow I: bubble–probe interaction, in press; S. Luther, J. Rensen, Hot-film anemometry in bubbly flow II: local phase discrimination, in press; J.M. Rensen, S. Luther, D. Lohse, Velocity structure functions in turbulent two-phase flows, J. Fluid Mech., in press]. It consists of an optimal signal decomposition using an adaptive wavelet transform and neural network based classification. We discuss the application of autoregressive models to obtain energy spectra for gapped time series.
Original languageEnglish
Pages (from-to)821-826
Number of pages6
JournalExperimental thermal and fluid science
Issue number7
Publication statusPublished - 2005


Dive into the research topics of 'Data analysis for hot film-anemometry in turbulent bubbly flow'. Together they form a unique fingerprint.

Cite this